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https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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1ff585233a
This element refactors functionality from gstonnxinference element, namely separating out the ONNX inference from the subsequent analysis. The new element runs an ONNX model on each video frame, and then attaches a TensorMeta meta with the output tensor data. This tensor data will then be consumed by downstream elements such as gstobjectdetector. At the moment, a provisional TensorMeta is used just in the ONNX plugin, but in future this will upgraded to a GStreamer API for other plugins to consume. Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/4916>
41 lines
1.2 KiB
C
41 lines
1.2 KiB
C
/*
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* GStreamer gstreamer-ml
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* Copyright (C) 2021 Collabora Ltd
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*
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* gstml.h
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Library General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Library General Public License for more details.
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*
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* You should have received a copy of the GNU Library General Public
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* License along with this library; if not, write to the
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* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
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* Boston, MA 02110-1301, USA.
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*/
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#ifndef __GST_ML_H__
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#define __GST_ML_H__
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/**
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* GstMlInputImageFormat:
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*
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* @GST_ML_INPUT_IMAGE_FORMAT_HWC Height Width Channel (a.k.a. interleaved) format
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* @GST_ML_INPUT_IMAGE_FORMAT_CHW Channel Height Width (a.k.a. planar) format
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*
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* Since: 1.20
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*/
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typedef enum {
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GST_ML_INPUT_IMAGE_FORMAT_HWC,
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GST_ML_INPUT_IMAGE_FORMAT_CHW,
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} GstMlInputImageFormat;
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#endif
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